At arenaflex, we're on a mission to revolutionize the way we approach data-driven decision making. As a key member of our team, you'll play a vital role in driving business growth and success through the analysis and interpretation of complex data sets. If you're passionate about data, have a keen eye for detail, and enjoy working in a fast-paced environment, we'd love to hear from you.
**About arenaflex**
arenaflex is a leading global logistics and transportation company, dedicated to providing innovative solutions to meet the evolving needs of our customers. With a rich history dating back to 1971, we've grown into a global operations and transportation giant, serving millions of customers across 220 countries and territories. Our commitment to excellence, customer satisfaction, and employee development has earned us a reputation as one of the world's most respected and trusted logistics companies.
**Job Summary**
As an Experienced Data Analyst, you'll be responsible for planning and executing cycles and arrangements related to various data sets used for information/text mining, and analysis to empower informed business decisions. You'll work closely with cross-functional teams to gain insights into key business issues and expectations by applying statistical analysis procedures to inspect structured and unstructured data from multiple sources. Your expertise will be instrumental in driving business growth and success through data-driven decision making.
**Key Responsibilities**
* Plan and execute cycles and arrangements related to various data sets used for information/text mining, and analysis to empower informed business decisions
* Gain insights into key business issues and expectations by applying statistical analysis procedures to inspect structured and unstructured data from multiple sources
* Develop and communicate results to a wide range of audiences, from senior management to cross-functional teams
* Utilize current and emerging technologies to assess trends and develop significant insights and recommendations to the board
* Regularly utilize data, statistical and quantitative analysis, constrained modeling, and fact-based management to drive navigation
* Guide less experienced staff and work in cross-functional projects and initiatives
* Present to senior management and other stakeholders as needed
**Essential Qualifications**
* Bachelor's degree in data science, software engineering, or a quantitative discipline, such as mathematics, statistics, operations research, finance, or economics
* 3+ years of work experience in estimation and analysis, quantitative business analysis, operations research, marketing analysis, simulation development, or predictive analysis
* Proficient in data analysis software and applications
* Excellent communication and interpersonal skills
* Strong written and oral communication skills
**Desirable Qualifications**
* Experience or coursework with SAFE Spry
* Experience with the following: requirements gathering; probability and statistics; TSQL/PLSQL; Python or R; statistical analysis; clear data analysis
* Microsoft Office
* Microsoft Power BI
* Alteryx
* Python/R
* Automation
* Financial Information
* Basic Accounting Information
* Proficient in data analysis software and applications
* Excellent communication and interpersonal skills
* Strong written and oral communication skills
**About Working at arenaflex**
At arenaflex, we're committed to providing a work environment that's inclusive, supportive, and empowering. Our employees are our greatest asset, and we're dedicated to helping them grow and develop in their careers. We offer a range of benefits and perks, including:
* Competitive salary and bonus structure
* Comprehensive health insurance and retirement savings plans
* Paid time off and holidays
* Life and disability insurance
* Employee assistance program (EAP)
* Educational assistance programs
* Employee discounts on arenaflex services and products
* Health and wellness programs
* Opportunities for career growth and development
**How to Apply**
If you're passionate about data analysis and want to join a dynamic and innovative team, we'd love to hear from you. Please submit your application, including your resume and a cover letter, to [insert contact information]. We can't wait to hear from you!
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